The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge production. While investment into data curation for specific disciplines and individual research institutions has advanced the ability to preserve research data products, data curation for “big” interdisciplinary science remains relatively unexplored terrain. This presentation reports on the (geographic) data curation process for such a scientific endeavor. In 2011 the University of Miami Center for Computational Science (CCS) was invited to collaborate as data curators on a multi-year trans-disciplinary NSF funded research project located in the Gulf of Mexico. The CCS was specifically tasked to build an online decision support resource that includes a data repository, a map-based data exploration tool, and a map- and data-based story telling tool. The presentation will report on the entire curation process with a focus on data sharing, metadata creation, repository development, and the development of tools to synthesize and share the data across disciplines. The presentation concludes with a reflection on how data curators can find opportunities as synthesizers in large interdisciplinary science projects; to curate special collections of data and create exhibits that tell synthetic stories from interdisciplinary work.